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Updated: Feb 5, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Screening Estrogen Receptor Modulators in a Paper-Based Breast Cancer Model
Nathan A Whitman1, Zhi-Wei Lin1, Thomas J DiProspero1
1Department of Chemistry, Kenan and Caudill Laboratories , University of North Carolina at Chapel Hill , 125 South Road , Chapel Hill , North Carolina 27599-3290 , United States.
Researchers developed a 3D paper-based scaffold to screen environmental estrogen receptor (ER) modulators. This new platform shows potential for more accurate toxicity assessments than traditional cell cultures.
Area of Science:
- Environmental Health Sciences
- Toxicology
- Biotechnology
Background:
- Exposure to estrogen receptor (ER) modulators poses health risks, necessitating identification of environmental disruptors.
- Current methods using cell monolayers lack accuracy in predicting in vivo endocrine disruptor potencies.
- There is a need for physiologically relevant models to assess tissue- or organ-level responses to ER modulators.
Purpose of the Study:
- To develop and evaluate a novel screening platform for quantitatively assessing ER modulators.
- To utilize 3D cultures on paper scaffolds for improved throughput and performance in toxicity screening.
- To assess the potential of this platform for environmental chemical risk assessment.
Main Methods:
- Developed a 96-well screening platform using chemically isolated 3D cultures supported by wax-patterned paper scaffolds.
- Quantified the potency of known ER modulators using a luciferase-based reporter assay.
- Measured the proliferation and invasion of ER-positive cell lines in the presence of estradiol.
Main Results:
- Successfully implemented a 3D culture system on paper scaffolds for high-throughput screening.
- Demonstrated the capability to measure ER modulator potency and cellular responses (proliferation, invasion).
- The current setup did not outperform monolayer cultures in predicting in vivo ER modulator potencies.
Conclusions:
- The paper-based scaffold platform demonstrates potential for screening environmental ER modulators.
- This technology can support increasingly complex, physiologically relevant tissue-like structures for risk assessment.
- Further development is needed to enhance predictive accuracy for in vivo responses.
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